A Novel Feature Selection Method to Choose Protein Biomarkers for CHD
Coronary heart disease is now a severe burden on society and family in both industrialized and developing countries, but the traditional related factors can not explain the whole situations. The effect of treatment is very limited. Determination of treatment based on the symptoms and signs in Traditional Chinese Medicine (TCM) have certain curative effect. But the objective of the syndrome diagnose is a very urgent and difficult problem in TCM. Under the foundation work we had done, the aim of this study was to search for a novel feature selection method for the chose of protein biomarkers for unstable angina (UA) with blood stasis syndrome. Plasma samples were obtained from twenty-four unstable angina patients and twelve healthy volunteers. A polyclonal antibody affinity column was used to remove the six most abundant proteins. Then, the two classes of samples were separated by Twodimensional difference gel electrophoresis (2D-DIGE). The differentially expressed protein spots were selected and identified with matrix-assisted laser desorption /ionization time-of-flight mass spectrometry (MALDI-TOF-MS) or MS-MS. Using multilayer perceptron, we choose the protein biomarkers for UA with blood stasis syndrome. By using a back elimination method integrated with classification methods, it is found that the optimal number of proteins is six, i.e., α1-Antitrypsin 2, HP cleaved β, α1Antitrypsin, ApoA-I, DBP4, Fg β 2. The proteins are biomarkers to separate UA with blood stasis syndrome from health control. The UA with blood stasis syndrome diagnosis accuracy could reach 96％. The obtained patterns are validated by 3-fold cross validation. The multi-layer perceptron may be a useful novel feature selection method for the choosing of protein biomarkers for CHD.
Multi-layer perceptron Feature selection method Coronary heart disease Unstable angina Blood stasis syndrome Traditional Chinese Medicine biomarker
Huihui Zhao Jianxin Chen Qin Hou Na Hou Jing Han Peng Zhang Yong Wang Wei Wang
Beijing University of Chinese Medicine Beijing,100029,China Beijing Document Service Beijing,100036,China Beijing Hospital of Traditional Chinese Medicine Beijing,100010,China
国际会议
上海
英文
1982-1985
2009-11-20（万方平台首次上网日期，不代表论文的发表时间）